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The TAP free energy for high-dimensional linear regression

The TAP free energy for high-dimensional linear regression

The Annals of Applied Probability (Ann. Appl. Probab.), 2022
14 March 2022
Jia Qiu
Subhabrata Sen
ArXiv (abs)PDFHTMLGithub

Papers citing "The TAP free energy for high-dimensional linear regression"

6 / 6 papers shown
Sampling from the Random Linear Model via Stochastic Localization Up to
  the AMP Threshold
Sampling from the Random Linear Model via Stochastic Localization Up to the AMP Threshold
Han Cui
Zhiyuan Yu
Jingbo Liu
352
3
0
15 Jul 2024
On Naive Mean-Field Approximation for high-dimensional canonical GLMs
On Naive Mean-Field Approximation for high-dimensional canonical GLMs
Soumendu Sundar Mukherjee
Jiaze Qiu
Subhabrata Sen
272
2
0
21 Jun 2024
Sub-optimality of the Naive Mean Field approximation for proportional
  high-dimensional Linear Regression
Sub-optimality of the Naive Mean Field approximation for proportional high-dimensional Linear Regression
Jiaze Qiu
182
3
0
15 Oct 2023
A Mean Field Approach to Empirical Bayes Estimation in High-dimensional
  Linear Regression
A Mean Field Approach to Empirical Bayes Estimation in High-dimensional Linear Regression
Soumendu Sundar Mukherjee
Bodhisattva Sen
Subhabrata Sen
429
7
0
28 Sep 2023
High-dimensional scaling limits and fluctuations of online least-squares
  SGD with smooth covariance
High-dimensional scaling limits and fluctuations of online least-squares SGD with smooth covarianceThe Annals of Applied Probability (Ann. Appl. Probab.), 2023
Krishnakumar Balasubramanian
Promit Ghosal
Ye He
415
8
0
03 Apr 2023
Local convexity of the TAP free energy and AMP convergence for
  Z2-synchronization
Local convexity of the TAP free energy and AMP convergence for Z2-synchronizationAnnals of Statistics (Ann. Stat.), 2021
Michael Celentano
Z. Fan
Song Mei
FedML
323
29
0
21 Jun 2021
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